The way I read this (and my layman understading) probability is about predicting future events, given a known model or assumption, while likelihood is almost the mirror image: I observe the data/outcome, and I ask: given that data, how plausible is a certain model or parameter value?Another way of looking at it:
probability: parameter/model is fixed; outcome is random/unknown.
likelihood: outcome/data is fixed; we vary the parameter/model to assess how well it explains the data.